Identification of healthy versus unhealthy substrate for pacing from a multipolar lead

• US 9,282,907 B2
• Filed: 07/23/2013
• Issued: 03/15/2016
• Est. Priority Date: 07/23/2013
• Status: Active Grant

• Current Assignee: Medtronic Incorporated (Medtronic Plc)
• Original Assignee: Medtronic Incorporated (Medtronic Plc)
• Inventors: Ghosh, Subham
• Primary Examiner(s): Stice, Paula J
• Application Number:
  US13/948,568
• Publication Number:
  US 20150032016A1
• Time in Patent Office: 966 Days
• Field of Search: 600508-509
• US Class Current: 1/1
• CPC Class Codes: A61B 5/25 Bioelectric electrodes therefor
• CPC Class Codes: A61B 5/316 Modalities, i.e. specific diagnostic methods
• CPC Class Codes: A61B 5/318 Heart-related electrical modalities, e.g. electrocardiography [ECG]
• CPC Class Codes: A61B 5/339 Displays specially adapted therefor
• CPC Class Codes: A61B 5/349 Detecting specific parameters of the electrocardiograph cycle
• CPC Class Codes: A61B 5/364 Detecting abnormal ECG interval, e.g. extrasystoles, ectopic heartbeats
• CPC Class Codes: A61B 5/366 Detecting abnormal QRS complex, e.g. widening
• CPC Class Codes: A61B 5/6823 Trunk, e.g., chest, back, abdomen, hip

Abstract

A medical device system performs a method determining presence of scar tissue. Torso-surface potential signals are received by a processor from multiple electrodes distributed on a torso of a patient. The processor extracts features of the potential signal from each electrode and stores values of the features in a non-transitory storage medium. The processor determines a scar indicator index for each of the electrodes from the stored features and identifies which ones of the electrodes have an affirmative scar indicator index. An overall scar burden index is determined as a proportion of the electrodes with an affirmative scar indicator index.

Claims

1. A system comprising:

a processor receiving means for receiving a torso-surface potential signal from each of a plurality of electrodes distributed on a torso of a patient;

a processor means for extracting features of the potential signal from each of the plurality of electrodes;

a storing means for storing the features;

a processor means for determining a scar indicator index for each of the plurality of electrodes from the stored features, identifying ones of the plurality of electrodes having an affirmative scar indicator index, and determining an overall scar burden index as a proportion of the plurality of electrodes with an affirmative scar indicator index.

2. The system of claim 1, further comprising a processor generating means for generating a map containing anatomic locations of electrodes with an affirmative scar indicator index.

3. The system of claim 2, further comprising a display means for displaying values of the features mapped to a computer model of a patient'"'"'s anatomy.

4. The system of claim 1, further comprising a processor means for determining an inverse problem of electrocardiography based on the torso-surface potential signals and an anatomical computer model of a human heart and torso.

5. The system of claim 1, further comprising a processor means for computing potentials on a surface of a computer model of a heart anatomy based on the torso-surface potential signals.

6. The system of claim 1, further comprising a processor means for identifying boundaries of scar tissue on a computer model heart in response to determining the overall cardiac scar burden index and torso surface locations of the ones of the plurality of electrodes identified with an affirmative scar indicator index.

7. The system of claim 6, further comprising a display means for displaying the boundaries of scar tissue along the model heart and the overall cardiac scar burden index.

8. The system of claim 1, wherein the features extracted from the potential signals for each of the plurality of electrodes comprise at least two of a QRS amplitude metric, a Q-wave negativity metric, and a QRS fractionation metric.

9. The system of claim 1, further comprising a processor means for estimating a scar burden surface area in response to the determined overall cardiac scar burden index and the ones of the plurality of electrodes identified with an affirmative scar indicator index.

10. The system of claim 1, further comprising reporting means for reporting the scar burden index and a therapy recommendation in response to the scar burden index.

11. A method comprising:

receiving by a processor a torso-surface potential signal from each of a plurality of electrodes distributed on a torso of a patient;

extracting by the processor features of the potential signal from each of the plurality of electrodes;

storing values of the features in a non-transitory storage medium;

determining by the processor a scar indicator index for each of the plurality of electrodes from the stored features;

identifying ones of the plurality of electrodes having an affirmative scar indicator index; and

determining an overall scar burden index as a proportion of the plurality of electrodes with an affirmative scar indicator index.

12. The method of claim 11, further comprising generating a map containing anatomic locations of electrodes with an affirmative scar indicator index.

13. The method of claim 12, further comprising displaying values of the features mapped to a computer model of a patient'"'"'s anatomy.

14. The method of claim 11, further comprising determining an inverse problem of electrocardiography based on the torso-surface potential signals and an anatomical computer model of a human heart and torso.

15. The method of claim 11, further comprising computing potentials on a surface of a computer model of a heart anatomy based on the torso-surface potential signals.

16. The method of claim 11, further comprising identifying boundaries of scar tissue on a computer model of a heart in response to determining the overall cardiac scar burden index and torso surface locations of the ones of the plurality of electrodes identified with an affirmative scar indicator index.

17. The method of claim 16, further comprising displaying the boundaries of scar tissue along the computer model of the heart and the overall cardiac scar burden index.

18. The method of claim 11, wherein extracting the features from the potential signals for each of the plurality of electrodes comprises determining at least two of a QRS amplitude metric, a Q-wave negativity metric, and a QRS fractionation metric.

19. The method of claim 11, further comprising estimating a scar burden surface area in response to the determined overall cardiac scar burden index and the ones of the plurality of electrodes identified with an affirmative scar indicator index.

20. The method of claim 11, further comprising reporting the scar burden index and a therapy recommendation in response to the scar burden index.

21. A non-transitory, computer readable storage medium comprising instructions for causing a processor of a medical device system to perform a method, the method comprising:

receiving a torso-surface potential signal from each of a plurality of electrodes distributed on a torso of a patient;

extracting features of the potential signal from each of the plurality of electrodes;

storing values of the features in a non-transitory storage medium;

determining a scar indicator index for each of the plurality of electrodes from the stored features;

identifying ones of the plurality of electrodes having an affirmative scar indicator index; and

determining an overall scar burden index as a proportion of the plurality of electrodes with an affirmative scar indicator index.

22. An apparatus for determining presence of myocardial scar tissue, comprising:

sensing means for receiving a torso-surface potential signal from each of a plurality of electrodes distributed on a torso of a patient;

processing means for extracting features of the potential signal from each of the plurality of electrodes;

storing means for storing values of the features in a non-transitory storage medium;

processing means for determining a scar indicator index for each of the plurality of electrodes from the stored features;

processing means for identifying ones of the plurality of electrodes having an affirmative scar indicator index; and

processing means for determining an overall scar burden index as a proportion of the plurality of electrodes with an affirmative scar indicator index.